Universitas Brawijaya
Faculty of Mathematics and Natural Sciences
Department of Statistics / Bachelor Statistics Study Programme Module Handbook
Module Name: Simulation Methods (MAS62321)
Module Level: Bachelor
Abbreviation, if applicable: - Sub-heading, if applicable: - Courses included in the
module, if applicable:
-
Semester/term: 4th / Second Year
Module Coordinator(s): Rahma Fitriani, S.Si., M.Sc. PhD Lecturer(s): Rahma Fitriani, S.Si., M.Sc. PhD
Darmanto, S.Si., M.Si
Language: Indonesian
Classification within the curriculum:
Elective Course Teaching format / class per
week during semester:
2 × 50 minutes
Workload: 1.67 hours lectures, 2 hours structural activities, 2 hours individual studies, 16 weeks per semester, and total 90.67 hours per semester 3 ECTS
Credit Points: 2
Requirements: Introduction to Probability Theory (MAS62111), Basics of programming (MAS61131)
Learning goals / competencies:
General Competence (Knowledge):
ILO1 The students are able to master basic scientific concepts and statistical analysis methods applied on computing, social science, humanities, economics, industry and life science.
ILO2 The students are able to arrange and/or choose an efficient data collection/ data generated design that applies in surveys, experiments or simulations.
ILO3 The students are able to manage, analyze, and complete the real case using statistical method on computing, social humanities, economics, industry and life science that helped by software, then present and communicate the results.
ILO4 The students are able to master at least two statistical softwares, including based on open source.
ILO5 The students are able to apply logical, critical, systematic, and innovative thinking independently
when applied to science and technology that contain humanities values, based on scientific principles, procedures and ethics with excellent and measurable results.
ILO6 The students are able to take appropriate decisions to solve the problems expertly, based on the information and data analysis.
ILO7 The students are able to improve and develop a job networks, then supervise and evaluate the team’s performance they lead.
ILO8 The students are able to apply and internalize the spirit of independence, struggle, entrepreneurship, based on values, norms, and academic ethics of Pancasila in all aspects of life.
Specific Competence:
M1 Students are able to understand the monte carlo simulation concept, deterministic simulation models and stochastic simulation models (ILO1, ILO5) M2 Students are able to understand the concept of
generating random numbers that have discrete or continuous distribution (ILO1, ILO2, ILO5)
M3 Students are able to apply the concept of simulation with the help of software (R) (ILO2, ILO4, ILO5) M4 Students are able to apply simulation concepts to
determine solutions to simple queuing models (ILO1, ILO2, ILO3, ILO4, ILO5)
M5 Students are able to apply simulation concepts to determine solutions to simple queuing models (ILO1, ILO2, ILO3, ILO4, ILO5)
M6 Students are able to understand the properties of the simulation output statistically (ILO3, ILO4, ILO6) M7 Students are able to apply simulation concepts to
statistical models (ILO1, ILO2)
M8 Students are able to convey the results of their analysis in writing or verbally, in the form of individual or group assignments (ILO7, ILO8) Contents: 1 Basic Terminology of Monte Carlo Simulation,
Deterministic Simulation Models and Stochastic Simulation Models
2 The concept of generating random numbers that spread discrete or continuous
3 Simulation for determining the solution to the queuing
model
4 Simulation for determining the solution in the preparation model
5 The statistical output properties of the simulation 6 Simulation on statistical models
Soft skill attribute: Responsible, independently, and discipline
Study/exam achievement: Final score (NA) is calculated as follow: 20% Assignments, 12% Post Test, 15% Quizzes, 26% Midterm Exam, 26% Final Exam.
Final index is defined as follow:
A : > 80 - 100 B+ : > 75 - 80 B : > 69 - 75 C+ : > 60 - 69 C : > 55 - 60 D+ : > 50 - 55 D : > 44 - 50 E : 0 - 44
Forms of media: -
Learning methods: Lecture and assessment
Literature: Main:
Winston, W.L. 2004. Operation Research: Applications and Algorithms. 4th ed. Thomson Brooks/Cole. Southbank, Vic Support:
1. Morgan, B.J.T. 1984. Elements of simulation
2. Law, A.M. and Kelton, W. 1991. Simulation Modelling and Analysis
3. Kakiay, T.J. 2004. Pengantar Sistem Simulasi
Notes:
